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    • Computational Biology

    Computational Biology Courses Online

    Explore computational biology for analyzing biological data. Learn to apply algorithms and models to study genomes, proteins, and biological systems.

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    Explore the Computational Biology Course Catalog

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Teaching Impacts of Technology in K-12 Education

      Skills you'll gain: Data Ethics, Big Data, Cybersecurity, Student Engagement, Pedagogy, Blockchain, Algorithms, Data Security, Teaching, Cryptography, Education and Training, Technical Communication, Education Software and Technology, Diversity Awareness, Information Privacy, Emerging Technologies, Digital Transformation, Computer Science, Information Technology, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      58 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Anatomy & Physiology: Fluids, Transport, and Defense

      Skills you'll gain: Cardiology, Anatomy, Patient Evaluation, Pathology, Biology, Molecular, Cellular, and Microbiology, Infectious Diseases

      4.8
      Rating, 4.8 out of 5 stars
      ·
      22 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of California, Santa Cruz

      Cyber-Physical Systems: Modeling and Simulation

      Skills you'll gain: Systems Design, Model Based Systems Engineering, Mathematical Modeling, Simulations, Control Systems, Embedded Systems, Systems Analysis, Computational Logic, Digital Communications, Differential Equations, Estimation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      50 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      Instituto Tecnológico de Aeronáutica

      Controle a Tempo Discreto

      Skills you'll gain: Control Systems, Engineering Calculations, Automation Engineering, Simulation and Simulation Software, Computational Logic, Matlab, Process Control, Sampling (Statistics), Embedded Systems, Engineering Analysis, System Requirements, Electrical and Computer Engineering, Mathematical Modeling, System Design and Implementation, Digital Design, Performance Testing, Simulations, Differential Equations, Estimation, Linear Algebra

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      University of Glasgow

      Introduction to the Pharmaceutical Industry

      Skills you'll gain: Pharmaceuticals, Pharmacology, Healthcare Ethics, Clinical Trials, Clinical Research, Regulatory Affairs, Healthcare Industry Knowledge, Regulatory Compliance, Medical Science and Research, Emerging Technologies, Precision Medicine, Biology, AI Personalization

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      T

      Tsinghua University

      Data Structures and Algorithms

      Skills you'll gain: Data Structures, Graph Theory, Algorithms, Computational Thinking, Theoretical Computer Science, Database Design, Computer Programming, Query Languages, Computer Science, System Design and Implementation

      2.8
      Rating, 2.8 out of 5 stars
      ·
      39 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      F

      Fred Hutchinson Cancer Center

      Researcher's Guide to Omic Data

      Skills you'll gain: Bioinformatics, Molecular Biology, Data Processing, Data Analysis, Data Literacy, Research Design, Exploratory Data Analysis, Metadata Management, Experimentation, Science and Research, R Programming, Scientific Methods, Spatial Analysis, Data Collection, Data Quality, Data Validation, Quantitative Research, Biology, Qualitative Research, Analysis

      3.8
      Rating, 3.8 out of 5 stars
      ·
      22 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Types of Vaccine

      Skills you'll gain: Microbiology, Pharmaceuticals, Infectious Diseases, Clinical Trials, Medical Science and Research, Epidemiology, Public Health, Clinical Research, Molecular Biology, Biology, Innovation, Emerging Technologies

      5
      Rating, 5 out of 5 stars
      ·
      22 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universidade de São Paulo

      Biologia do Sono e Saúde Humana

      Skills you'll gain: Mental Health, Psychiatry, Psychology, Behavioral Health, Health Care, Pulmonology, Human Development, Human Learning, Biology, Neurology, Cultural Diversity

      5
      Rating, 5 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      A

      American Psychological Association

      Psychology in Everyday Life

      Skills you'll gain: Behavioral Economics, Public Policies, Compassion, Sociology, Psychology, Cultural Diversity, Mental Health, Resilience, Human Development, Behavioral Health, Social Sciences, Industrial and Organizational Psychology, Empathy, Interpersonal Communications, Diversity Awareness, Relationship Building, Persuasive Communication, Goal Setting, Research, Biology

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Immunology: Adaptive Immune System

      Skills you'll gain: Geriatrics, Infectious Diseases, Biology, Molecular, Cellular, and Microbiology, Pathology, Chronic Diseases, Molecular Biology, Oncology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      66 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      Tsinghua University

      Data Structures and Algorithms (I)

      Skills you'll gain: Data Structures, Algorithms, Computational Thinking, Theoretical Computer Science, Computer Programming, Computer Science

      3.1
      Rating, 3.1 out of 5 stars
      ·
      33 reviews

      Intermediate · Course · 1 - 3 Months

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    In summary, here are 10 of our most popular computational biology courses

    • Teaching Impacts of Technology in K-12 Education: University of California San Diego
    • Anatomy & Physiology: Fluids, Transport, and Defense: Rice University
    • Cyber-Physical Systems: Modeling and Simulation: University of California, Santa Cruz
    • Controle a Tempo Discreto: Instituto Tecnológico de Aeronáutica
    • Introduction to the Pharmaceutical Industry: University of Glasgow
    • Data Structures and Algorithms: Tsinghua University
    • Researcher's Guide to Omic Data: Fred Hutchinson Cancer Center
    • Types of Vaccine: Imperial College London
    • Biologia do Sono e Saúde Humana: Universidade de São Paulo
    • Psychology in Everyday Life: American Psychological Association

    Skills you can learn in Algorithms

    Graphs (22)
    Mathematical Optimization (21)
    Computer Program (20)
    Data Structure (19)
    Problem Solving (19)
    Algebra (12)
    Computer Vision (10)
    Discrete Mathematics (10)
    Graph Theory (10)
    Image Processing (10)
    Linear Algebra (10)
    Reinforcement Learning (10)

    Frequently Asked Questions about Computational Biology

    Computational Biology is a multidisciplinary approach to applying data-scientific methods, processes, or theories to the study of biological systems. The field includes foundations in Mathematics, Statistics, Chemistry, Genetics, Genomics, Computer Science, Evolution, and related disciplines.

    An example of Computational Biology is performing experiments that produce data—building sequences of molecules, for instance—and then using methods such as machine learning to analyze the data.

    When mastered, Computational Biology enables successful learners to bring drug discovery and disease prevention expertise to Biotechnology, Pharmaceuticals, and other essential fields.‎

    As Data Science roles pertaining to Biology become increasingly in-demand, learners exploring Computational Biology can find opportunities in commercial, academic, and government domains. The positions learners can look forward to include Computer and Information Research Scientist, Computational Biology Professor, Software and Instrumentation Test Engineer, Bioinformatics Scientist, and related roles.

    Some industries in which Computational Biology learners will find exciting opportunities include Medical Device and Equipment, Research and Testing, Agricultural Chemicals, Pharmaceuticals, National Institutes of Health, and more.‎

    Courses in Computational Biology offered through Coursera explore various methods for extracting data from biological experiments. Learners discover how algorithms, data structures, and other computational methods can help them analyze DNA sequencing data. The basics in biological systems are covered so learners have a foundational understanding of DNA, genomics, and DNA sequencing. Hands-on learning of data science tools is available in many courses as well, where learners use Python, R Programming, and more to analyze real genomes and DNA sequencing datasets.‎

    Computational biology sits at the intersection of machine learning and life science, so if you possess skills in computer science and any of the various disciplines of biology, you’re ready to start learning computational biology. Having a working understanding of biology, pharmacology, and genetics can help you gain a foothold in learning computational biology, and the deeper your knowledge of those fields, the better off you’ll be in your studies. You can also benefit from a background in coding and computer programming, especially if you have experience using discrete mathematics for research and data analysis. An understanding of statistics can also give you an advantage in studying computational biology because you can apply the principles of statistics and data analysis to problem-solving within scientific disciplines.‎

    Since computational biology—also known as bioinformatics—is a scientific discipline that relies on the analysis of large amounts of data, people with analytical natures or backgrounds in statistics are well-suited for careers in this area. Individuals who are passionate about life science and want to apply technology to studying its various fields will enjoy jobs in computational biology. Computer programmers who have an interest in biology or genetics can combine their skills in building data structures with their passion for bioinformatics. Whether you want to work in academic research or for a medical corporation, you can put your scientific and computational knowledge to work in a career in computational biology.‎

    Computational biology might be the right field for you if you’re interested in biology and genetics beyond family trees and the insights from DNA test kits ordered online. If you have the desire to help develop the next revolutionary prescription or a passion to use data to help solve scientific issues, learning computational biology could be a good fit for you. You can take the skills in data analysis and computer programming that you learn studying computational biology to conduct research that helps lead to scientific breakthroughs. From pharmaceutical studies to academic research, learning computational biology offers rewarding opportunities for those who want to combine computer skills with scientific exploration.‎

    Online Computational Biology courses offer a convenient and flexible way to enhance your knowledge or learn new Computational Biology skills. Choose from a wide range of Computational Biology courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Computational Biology, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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